| plotTreeHipamAnthropom {Anthropometry} | R Documentation |
HIPAM dendogram
Description
This function represents a dendrogram for the clustering results provided by a HIPAM algorithm. It is a small modification of the original plot.tree function of the smida R package, available from https://www.math.rug.nl/~ernst/book/smida.html.
Usage
plotTreeHipamAnthropom(x,main,...)
Arguments
x |
The HIPAM object to be plotted. |
main |
Title of the plot. |
... |
Other arguments that may be supplied. |
Value
A device with the desired plot.
Note
This function only represents the 'tree' option of the original plot.tree function of smida, because we believe that this option displays better the clustering results provided by HIPAM than the option '2d'.
Author(s)
This function was originally created by E. Wit et al., and it is available freely on https://www.math.rug.nl/~ernst/book/smida.html. We have slightly modified.
References
Vinue, G., Leon, T., Alemany, S., and Ayala, G., (2014). Looking for representative fit models for apparel sizing, Decision Support Systems 57, 22–33.
Wit, E., and McClure, J., (2004). Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons, Ltd.
Wit, E., and McClure, J., (2006). Statistics for Microarrays: Inference, Design and Analysis. R package version 0.1. https://www.math.rug.nl/~ernst/book/smida.html.
See Also
Examples
dataHipam <- sampleSpanishSurvey
bust <- dataHipam$bust
bustSizes <- bustSizesStandard(seq(74, 102, 4), seq(107, 131, 6))
type <- "IMO"
maxsplit <- 5 ; orness <- 0.7
ah <- c(23, 28, 20, 25, 25)
#For reproducing results, seed for randomness:
#suppressWarnings(RNGversion("3.5.0"))
#set.seed(2013)
numSizes <- 1
res_hipam <- computSizesHipamAnthropom(dataHipam, bust, bustSizes$bustCirc, numSizes,
maxsplit, orness, type, ah, FALSE)
plotTreeHipamAnthropom(res_hipam[[1]],
main=paste("Proposed Hierarchical PAM Clustering \n",
"74-78"))